Sungpill Choi
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Co-authors
- Hoi‐Jun YooKyeongryeol BongChanghyeon KimSanghoon KangDonghyeon HanDongjoo ShinJinmook LeeSeong‐Wook Park
- Topics
- CCD and CMOS Imaging Sensors (10 papers)Advanced Memory and Neural Computing (9 papers)Advanced Neural Network Applications (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHardware and ArchitectureElectrical and Electronic Engineering
- Journals
- IEEE Journal of Solid-State CircuitsApplied Surface ScienceIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- South Korea
In The Last Decade
Sungpill Choi
34 papers receiving 659 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 438
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 154
- Computer Networks and Communications 64
- Hardware and Architecture 63
Countries citing papers authored by Sungpill Choi
This map shows the geographic impact of Sungpill Choi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sungpill Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungpill Choi more than expected).
Fields of papers citing papers by Sungpill Choi
This network shows the impact of papers produced by Sungpill Choi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sungpill Choi. The network helps show where Sungpill Choi may publish in the future.
Co-authorship network of co-authors of Sungpill Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Sungpill Choi. A scholar is included among the top collaborators of Sungpill Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sungpill Choi. Sungpill Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 29 | |
| 5 | 46 | |
| 6 | 45 | |
| 7 | 1 | |
| 8 | 106 | |
| 9 | 24 | |
| 10 | A 0.62mW Ultra-low-power Convolutional Neural Network Face Recognition Processor and a CIS Integrated with Always-on Haar-like Face Detector | 8 |
| 11 | 84 | |
| 12 | 34 | |
| 13 | 22 | |
| 14 | A 1.93 TOPS/W Scalable Deep Learning/Inference Processor with Tetra-parallel MIMD Architecture for Big Data Applications | 34 |
| 15 | 78 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 2 | |
| 20 | IP-RFID based small ship management system | 1 |
About Sungpill Choi
Sungpill Choi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 36 papers that have together received 682 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (10 papers), Advanced Memory and Neural Computing (9 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (324 citations), Hardware and Architecture (63 citations) and Electrical and Electronic Engineering (438 citations). Sungpill Choi has collaborated with scholars based in South Korea. Frequent co-authors include Hoi‐Jun Yoo, Kyeongryeol Bong, Changhyeon Kim, Sanghoon Kang, Donghyeon Han, Dongjoo Shin, Jinmook Lee, Seong‐Wook Park, Kyuho Lee and Youchang Kim. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Applied Surface Science and IEEE Transactions on Circuits and Systems I Regular Papers.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.